Your data platform isn’t your data strategy: Why “manage it later” is the lie that breaks AI

This article argues that a data platform (like a data warehouse or lakehouse) is not enough for successful AI implementation. While data platforms store and process data, a separate data management platform is crucial for ensuring data is trustworthy, governed, and consistently understood across an organization. Ultimately, managing the meaning of data at scale—through modeling, cataloging, and quality control—is what will differentiate successful companies in the age of AI, and simply having a powerful platform isn't sufficient.